---

import { type LineData, PriceScaleMode, type WhitespaceData } from 'lightweight-charts';

import type {
  DailyClose,
  SeasonalityChange,
  SeasonalityRange,
  SeasonalityScale,
  SeasonalityTableRow,
  SeasonalityYear,
} from '@src/types';

type SeriesDatum = LineData | WhitespaceData;

const CALENDAR = Array.from({ length: 366 }, (_, day) =>
  new Date(Date.UTC(2000, 0, day + 1)).toISOString().slice(0, 10),
);

const ISO_DATE_MONTH_START = 5;
const ISO_DATE_MONTH_END = 7;

export function normalizeRange(range: SeasonalityRange, minYear: number, maxYear: number): SeasonalityRange {
  if (!Number.isFinite(range.fromYear) || !Number.isFinite(range.toYear)) {
    throw new Error('Invalid year range');
  }

  const fromYear = Math.max(minYear, Math.min(maxYear, Math.round(range.fromYear)));
  const toYear = Math.max(fromYear, Math.min(maxYear, Math.round(range.toYear)));

  return { fromYear, toYear };
}

export function buildSeasonality(rows: readonly DailyClose[]): SeasonalityYear[] {
  const years: SeasonalityYear[] = [];
  const sorted = [...rows].sort((a, b) => a.date.localeCompare(b.date));

  for (const row of sorted) {
    const year = Number(row.date.slice(0, 4));

    let current = years[years.length - 1];

    if (!current || current.year !== year) {
      current = {
        year,
        baselineDate: row.date,
        baselinePrice: row.close,
        points: [],
      };

      years.push(current);
    }

    if (current.points[current.points.length - 1]?.date === row.date) {
      throw new Error(`Multiple daily candles on ${row.date}`);
    }

    const percentage = current.baselinePrice > 0 ? (row.close / current.baselinePrice - 1) * 100 : null;

    if (percentage !== null && !Number.isFinite(percentage)) {
      throw new Error('Invalid percentage');
    }

    current.points.push({
      date: row.date,
      chartDate: `2000-${row.date.slice(5)}`,
      price: row.close,
      percentage,
    });
  }

  return years;
}

export function toSeriesData(year: SeasonalityYear, scale: SeasonalityScale): SeriesDatum[] {
  const isPercentage = scale === PriceScaleMode.Percentage;

  let index = 0;

  return CALENDAR.map((time) => {
    const point = year.points[index];

    if (point?.chartDate !== time) {
      return { time };
    }

    index += 1;

    const value = isPercentage ? point.percentage : point.price;

    return value === null ? { time } : { time, value };
  });
}

export function buildSeasonalityAverage(years: readonly SeasonalityYear[], scale: SeasonalityScale): SeriesDatum[] {
  const values = new Map<string, number[]>();
  const isPercentage = scale === PriceScaleMode.Percentage;

  for (const year of years) {
    for (const point of year.points) {
      const value = isPercentage ? point.percentage : point.price;

      if (value === null) {
        continue;
      }

      const dailyValues = values.get(point.chartDate) ?? [];

      dailyValues.push(value);
      values.set(point.chartDate, dailyValues);
    }
  }

  return CALENDAR.map((time) => {
    const value = calculateAverage(values.get(time) ?? []);

    return value === null ? { time } : { time, value };
  });
}

export function buildSeasonalityTable(years: readonly SeasonalityYear[]): SeasonalityTableRow[] {
  const closes = new Map<number, number>();

  for (const year of years) {
    for (const point of year.points) {
      const month = Number(point.date.slice(ISO_DATE_MONTH_START, ISO_DATE_MONTH_END)) - 1;

      closes.set(year.year * 12 + month, point.price);
    }
  }

  return years
    .map((year) => {
      const firstMonth = year.year * 12;
      const baselineMonth = Number(year.baselineDate.slice(ISO_DATE_MONTH_START, ISO_DATE_MONTH_END)) - 1;
      const lastPoint = year.points[year.points.length - 1];
      const baselinePrice = closes.get(firstMonth - 1) ?? year.baselinePrice;

      return {
        year: year.year,
        months: Array.from({ length: 12 }, (_, month) => {
          const key = firstMonth + month;
          const fromPrice = closes.get(key - 1) ?? (month === baselineMonth ? year.baselinePrice : undefined);

          return calculateChange(fromPrice, closes.get(key));
        }),
        total: calculateChange(baselinePrice, lastPoint.price),
      };
    })
    .reverse();
}

function calculateChange(from: number | undefined, to: number | undefined): SeasonalityChange | null {
  if (from === undefined || to === undefined) {
    return null;
  }

  return {
    absolute: to - from,
    percentage: from > 0 ? (to / from - 1) * 100 : null,
  };
}

export function buildSeasonalityTableAverage(
  rows: readonly SeasonalityTableRow[],
): Pick<SeasonalityTableRow, 'months' | 'total'> | null {
  if (rows.length === 0) {
    return null;
  }

  return {
    months: Array.from({ length: 12 }, (_, month) => averageChanges(rows.map((row) => row.months[month]))),
    total: averageChanges(rows.map((row) => row.total)),
  };
}

function averageChanges(changes: readonly (SeasonalityChange | null | undefined)[]): SeasonalityChange | null {
  const available = changes.filter((change): change is SeasonalityChange => change !== null && change !== undefined);

  if (available.length === 0) {
    return null;
  }

  return {
    absolute: available.reduce((sum, change) => sum + change.absolute, 0) / available.length,
    percentage: calculateAverage(available.map((change) => change.percentage)),
  };
}

function calculateAverage(values: readonly (number | null)[]): number | null {
  let sum = 0;
  let count = 0;

  for (const value of values) {
    if (value !== null) {
      sum += value;
      count += 1;
    }
  }

  return count === 0 ? null : sum / count;
}

















import dayjs from 'dayjs';
import {
  ColorType,
  createChart,
  createSeriesMarkers,
  CrosshairMode,
  type IChartApi,
  type ISeriesApi,
  type ISeriesMarkersPluginApi,
  LineSeries,
  LineStyle,
  type MouseEventParams,
  PriceScaleMode,
  type Time,
} from 'lightweight-charts';
import { BehaviorSubject } from 'rxjs';

import { createInitialSeasonalityState, DEFAULT_SEASONALITY_YEARS } from '@src/constants';
import { ZIndex } from '@src/core/ContainerManager';
import { COMPARE_COLOR_PALETTE } from '@src/theme';
import { getThemeStore } from '@src/theme/store';
import { getLocale, t } from '@src/translations';
import { SeasonalityViewType } from '@src/types';
import { Timeframes } from '@src/types/timeframes';
import {
  buildSeasonality,
  buildSeasonalityTable,
  canvasToBlob,
  drawTextLayer,
  formatCompactNumber,
  formatPercent,
  getPercentPrecisionStep,
  getPricePrecisionStep,
  normalizeRange,
  toSeriesData,
} from '@src/utils';
import { buildSeasonalityAverage } from '@src/utils/seasonality';

import type { DataSourceParams } from '@src/core/DataSource';
import type {
  Candle,
  DailyClose,
  SeasonalityRange,
  SeasonalityScale,
  SeasonalityTableRow,
  SeasonalityYear,
} from '@src/types';

interface SeasonalityManagerParams {
  container: HTMLElement;
  getData: DataSourceParams['getData'];
}

interface SeasonalityPlot {
  year: SeasonalityYear;
  series: ISeriesApi<'Line'>;
  legend: HTMLSpanElement;
  legendValue: HTMLSpanElement;
  markers?: ISeriesMarkersPluginApi<Time>;
}

interface SeasonalityAveragePlot {
  series: ISeriesApi<'Line'>;
  legend: HTMLSpanElement;
  legendValue: HTMLSpanElement;
  data: ReturnType<typeof buildSeasonalityAverage>;
}

export class SeasonalityManager {
  private readonly currentYear = dayjs().year();
  private readonly state = new BehaviorSubject(createInitialSeasonalityState());
  private readonly chartContainer: HTMLDivElement;
  private readonly legend: HTMLDivElement;
  private readonly statusElement: HTMLDivElement;
  private readonly plots = new Map<number, SeasonalityPlot>();

  private chart: IChartApi | null = null;
  private averagePlot: SeasonalityAveragePlot | null = null;
  private allYears: SeasonalityYear[] = [];
  private tableRows: SeasonalityTableRow[] = [];
  private requestId = 0;
  private renderFrame: number | null = null;
  private destroyed = false;

  constructor(private readonly params: SeasonalityManagerParams) {
    const { chartContainer, legend, statusElement } = createSeasonalityElements(params.container);

    this.chartContainer = chartContainer;
    this.legend = legend;
    this.statusElement = statusElement;

    this.updateTheme();
  }

  public getState() {
    return this.state.asObservable();
  }

  public async show(symbolId: string, range?: SeasonalityRange): Promise<void> {
    if (this.destroyed || this.reuseHistory(symbolId, range)) {
      return;
    }

    const requestId = ++this.requestId;

    this.reset();

    this.showStatus(t('Loading seasonality'));

    this.state.next({
      ...this.state.value,
      symbolId,
      status: 'loading',
      tableRows: [],
      error: null,
    });

    try {
      if (!symbolId) {
        throw new Error('Select an instrument');
      }

      const rows = await this.loadHistory(symbolId, requestId);

      if (!this.isCurrent(requestId)) {
        return;
      }

      this.allYears = buildSeasonality(rows);
      this.tableRows = buildSeasonalityTable(this.allYears);
      this.setInitialRange(range);
    } catch (error) {
      if (!this.isCurrent(requestId)) {
        return;
      }

      this.reset();
      this.showStatus(t('Unable to load seasonality'));

      this.state.next({
        ...this.state.value,
        status: 'error',
        tableRows: [],
        error: String(error),
      });

      console.error('[Seasonality] History loading failed:', error);
    }
  }

  public setRange = (range: SeasonalityRange): void => {
    if (this.destroyed || this.allYears.length === 0) {
      return;
    }

    const state = this.state.value;
    const next = normalizeRange(range, state.minYear, state.maxYear);

    if (next.fromYear === state.fromYear && next.toYear === state.toYear) {
      return;
    }

    this.state.next({ ...state, ...next });

    if (this.renderFrame !== null) {
      return;
    }

    this.renderFrame = requestAnimationFrame(() => {
      this.renderFrame = null;

      if (!this.destroyed && this.allYears.length > 0) {
        this.renderRange();
      }
    });
  };

  public setDisplayMode = (displayMode: SeasonalityViewType): void => {
    if (this.destroyed || this.state.value.displayMode === displayMode) {
      return;
    }

    this.state.next({ ...this.state.value, displayMode });
  };

  public setAverageVisible = (showAverage: boolean): void => {
    if (this.destroyed || this.state.value.showAverage === showAverage) {
      return;
    }

    this.state.next({ ...this.state.value, showAverage });

    this.updateAveragePlot(this.getSelectedYears());
    this.renderLegend();
    this.updateLegend();
  };

  public setScale = (scale: SeasonalityScale): void => {
    if (this.destroyed || this.state.value.scale === scale) {
      return;
    }

    this.state.next({ ...this.state.value, scale });

    if (!this.chart) {
      return;
    }

    this.plots.forEach((plot) => this.updateSeries(plot));
    this.updateAveragePlot(this.getSelectedYears());

    this.fitCalendar();

    this.updateStatus();
    this.updateLegend();
  };

  public clear = (): void => {
    if (this.destroyed) {
      return;
    }

    this.requestId += 1;

    this.reset();

    this.state.next({
      ...this.state.value,
      status: 'idle',
      tableRows: [],
      error: null,
    });
  };

  public updateTheme(): void {
    const { colors } = getThemeStore();

    Object.assign(this.params.container.style, {
      backgroundColor: colors.chartBackground,
    });

    Object.assign(this.statusElement.style, {
      color: colors.chartTextPrimary,
    });

    this.legend.style.color = colors.chartTextPrimary;

    this.chart?.applyOptions(getThemeOptions());

    if (this.averagePlot) {
      this.averagePlot.series.applyOptions({ color: colors.chartTextPrimary });
      this.averagePlot.legendValue.style.color = colors.chartTextPrimary;
    }
  }

  public async copyImage(): Promise<void> {
    if (
      !this.chart ||
      this.state.value.status !== 'ready' ||
      this.state.value.displayMode !== SeasonalityViewType.Chart
    ) {
      return;
    }

    const canvas = this.chart.takeScreenshot(true, false);

    drawTextLayer(canvas, this.legend, this.chart.chartElement());

    const blob = await canvasToBlob(canvas);

    await navigator.clipboard.write([new ClipboardItem({ 'image/png': blob })]);
  }

  public destroy(): void {
    if (this.destroyed) {
      return;
    }

    this.destroyed = true;
    this.requestId += 1;

    this.reset();

    this.chartContainer.remove();
    this.legend.remove();
    this.statusElement.remove();

    this.state.complete();
  }

  private isCurrent(requestId: number): boolean {
    return !this.destroyed && requestId === this.requestId;
  }

  private reuseHistory(symbolId: string, range?: SeasonalityRange): boolean {
    const state = this.state.value;

    if (state.symbolId !== symbolId) {
      return false;
    }

    if (state.status === 'loading') {
      return true;
    }

    if (this.allYears.length === 0) {
      return false;
    }

    if (range) {
      this.setRange(range);
    }

    return true;
  }

  private async loadHistory(symbolId: string, requestId: number): Promise<DailyClose[]> {
    const candles = new Map<number, Candle>();

    const loadPage = async (cursor?: Candle): Promise<void> => {
      if (!this.isCurrent(requestId)) {
        return;
      }

      const loaded = await this.params.getData(Timeframes['1d'], symbolId, cursor);

      if (!this.isCurrent(requestId) || !loaded?.length) {
        return;
      }

      const { oldest, newestTime } = mergeHistoryPage(loaded, candles);

      if (cursor && oldest.time >= cursor.time) {
        const isBoundaryOnly = oldest.time === cursor.time && newestTime === cursor.time;

        if (isBoundaryOnly) {
          return;
        }

        throw new Error(
          `History pagination made no progress: cursor=${cursor.time}, ` +
            `oldest=${oldest.time}, newest=${newestTime}, count=${loaded.length}`,
        );
      }

      return loadPage(oldest);
    };

    await loadPage();

    if (!this.isCurrent(requestId)) {
      return [];
    }

    return Array.from(candles.values(), (candle) => ({
      date: dayjs.unix(candle.time).format('YYYY-MM-DD'),
      close: candle.close,
    }));
  }

  private setInitialRange(range?: SeasonalityRange): void {
    if (this.allYears.length === 0) {
      this.showStatus(t('No seasonality data'));
      this.state.next({
        ...this.state.value,
        status: 'empty',
      });

      return;
    }

    const minYear = this.allYears[0].year;
    const maxYear = this.allYears[this.allYears.length - 1].year;

    const selected = normalizeRange(
      range ?? {
        fromYear: maxYear - DEFAULT_SEASONALITY_YEARS + 1,
        toYear: maxYear,
      },
      minYear,
      maxYear,
    );

    this.state.next({
      ...this.state.value,
      ...selected,
      minYear,
      maxYear,
    });

    this.renderRange();
  }

  private createChart(): IChartApi {
    const chart = createChart(this.chartContainer, {
      ...getThemeOptions(),
      autoSize: true,
      handleScroll: false,
      handleScale: false,
      kineticScroll: {
        mouse: false,
        touch: false,
      },
      rightPriceScale: {
        mode: PriceScaleMode.Normal,
        autoScale: true,
        alignLabels: true,
        visible: true,
        borderVisible: false,
      },
      leftPriceScale: {
        visible: false,
      },
      timeScale: {
        timeVisible: false,
        secondsVisible: false,
        borderVisible: false,
        allowBoldLabels: false,
        rightOffset: 0,
        tickMarkFormatter: formatSeasonDate,
        lockVisibleTimeRangeOnResize: true,
      },
      localization: {
        locale: getLocale(),
        timeFormatter: formatSeasonDate,
      },
    });

    chart.subscribeCrosshairMove(this.onCrosshairMove);

    this.chart = chart;

    return chart;
  }

  private renderRange(): void {
    const chart = this.chart ?? this.createChart();
    const { fromYear, toYear } = this.state.value;

    const years = this.getSelectedYears();

    this.plots.forEach((plot, year) => {
      if (year < fromYear || year > toYear) {
        plot.markers?.detach();
        chart.removeSeries(plot.series);
        this.plots.delete(year);
      }
    });

    const plots = years.map((year) => {
      const existing = this.plots.get(year.year);

      if (existing) {
        return existing;
      }

      const plot = this.createPlot(chart, year);

      this.plots.set(year.year, plot);

      return plot;
    });

    this.updateAveragePlot(years);
    this.renderLegend();

    if (plots.length > 0) {
      this.fitCalendar();
    }

    this.updateStatus();
    this.updateLegend();

    this.state.next({
      ...this.state.value,
      status: plots.length > 0 ? 'ready' : 'empty',
      tableRows: this.tableRows.filter((row) => row.year >= fromYear && row.year <= toYear),
    });
  }

  private getSelectedYears(): SeasonalityYear[] {
    const { fromYear, toYear } = this.state.value;

    return this.allYears.filter((year) => year.year >= fromYear && year.year <= toYear);
  }

  private renderLegend(): void {
    const plots = [...this.plots.values()].sort((a, b) => a.year.year - b.year.year);
    const elements = plots.flatMap((plot) => [plot.legend, plot.legendValue]);

    if (this.averagePlot) {
      elements.push(this.averagePlot.legend, this.averagePlot.legendValue);
    }

    this.legend.replaceChildren(...elements);
  }

  private updateAveragePlot(years: readonly SeasonalityYear[]): void {
    if (!this.chart) {
      return;
    }

    if (!this.state.value.showAverage || years.length === 0) {
      if (this.averagePlot) {
        this.chart.removeSeries(this.averagePlot.series);
        this.averagePlot = null;
      }

      return;
    }

    if (!this.averagePlot) {
      const legend = document.createElement('span');
      const legendValue = document.createElement('span');
      const color = getThemeStore().colors.chartTextPrimary;

      legend.textContent = t('Avg');

      Object.assign(legendValue.style, { color, textAlign: 'right' });

      this.averagePlot = {
        legend,
        legendValue,
        data: [],
        series: this.chart.addSeries(LineSeries, {
          title: t('Avg'),
          color,
          lineStyle: LineStyle.Dashed,
          lineWidth: 2,
          priceLineVisible: false,
          lastValueVisible: true,
          pointMarkersVisible: false,
          crosshairMarkerVisible: true,
        }),
      };
    }

    this.updatePriceFormat(this.averagePlot.series);

    this.averagePlot.data = buildSeasonalityAverage(years, this.state.value.scale);
    this.averagePlot.series.setData(this.averagePlot.data);
  }

  private fitCalendar(): void {
    this.chart?.timeScale().setVisibleRange({
      from: '2000-01-01',
      to: '2000-12-31',
    });
  }

  private createPlot(chart: IChartApi, year: SeasonalityYear): SeasonalityPlot {
    const color = getYearColor(year.year);
    const legend = document.createElement('span');
    const legendValue = document.createElement('span');

    legend.textContent = String(year.year);

    Object.assign(legendValue.style, {
      color,
      textAlign: 'right',
    });

    const plot: SeasonalityPlot = {
      year,
      legend,
      legendValue,
      series: chart.addSeries(LineSeries, {
        title: String(year.year),
        color,
        priceLineVisible: false,
        lastValueVisible: true,
        lineWidth: year.year === this.currentYear ? 3 : 1,
        pointMarkersVisible: false,
        crosshairMarkerVisible: true,
      }),
    };

    if (year.year === this.currentYear) {
      plot.markers = createSeriesMarkers(plot.series, [], {
        autoScale: false,
      });
    }

    this.updateSeries(plot);

    return plot;
  }

  private updateSeries({ series, year, markers }: SeasonalityPlot): void {
    const { scale } = this.state.value;
    const isPercentage = scale === PriceScaleMode.Percentage;

    this.updatePriceFormat(series);

    series.setData(toSeriesData(year, scale));

    if (markers) {
      const lastPoint = year.points[year.points.length - 1];
      const value = isPercentage ? lastPoint.percentage : lastPoint.price;

      markers.setMarkers(
        value === null
          ? []
          : [
              {
                time: lastPoint.chartDate,
                position: 'inBar',
                shape: 'circle',
                color: getYearColor(year.year),
                size: 1,
              },
            ],
      );
    }
  }

  private updatePriceFormat(series: ISeriesApi<'Line'>): void {
    const isPercentage = this.state.value.scale === PriceScaleMode.Percentage;

    series.applyOptions({
      priceFormat: {
        type: 'custom',
        minMove: isPercentage ? getPercentPrecisionStep() : getPricePrecisionStep(),
        formatter: (value: number) => (isPercentage ? formatPercent(value) : formatCompactNumber(value)),
      },
    });
  }

  private updateStatus(): void {
    if (this.plots.size === 0) {
      this.showStatus(t('No seasonality data'));

      return;
    }

    const isPercentage = this.state.value.scale === PriceScaleMode.Percentage;

    const hasBaseline = Array.from(this.plots.values()).some((plot) => plot.year.baselinePrice > 0);

    if (isPercentage && !hasBaseline) {
      this.showStatus(t('Percentage requires a positive baseline'));

      return;
    }

    this.statusElement.style.display = 'none';
  }

  private onCrosshairMove = (event: MouseEventParams): void => {
    this.updateLegend(event);
  };

  private updateLegend(event?: MouseEventParams): void {
    const isPercentage = this.state.value.scale === PriceScaleMode.Percentage;

    this.plots.forEach(({ year, series, legendValue }) => {
      const lastPoint = year.points[year.points.length - 1];

      let value = isPercentage ? lastPoint.percentage : lastPoint.price;

      if (event?.time !== undefined) {
        value = getCrosshairValue(event, series);
      }

      legendValue.textContent = value === null ? '—' : series.priceFormatter().format(value);
    });

    this.updateAverageLegend(event);
  }

  private updateAverageLegend(event?: MouseEventParams): void {
    const average = this.averagePlot;

    if (!average) {
      return;
    }

    let value: number | null = null;

    if (event?.time !== undefined) {
      value = getCrosshairValue(event, average.series);
    } else {
      for (const point of average.data) {
        if ('value' in point) {
          value = point.value;
        }
      }
    }

    average.legend.textContent = t('Avg');
    average.legendValue.textContent = value === null ? '—' : average.series.priceFormatter().format(value);
  }

  private showStatus(message: string): void {
    this.statusElement.textContent = message;
    this.statusElement.style.display = 'flex';
  }

  private reset(): void {
    if (this.renderFrame !== null) {
      cancelAnimationFrame(this.renderFrame);
      this.renderFrame = null;
    }

    this.chart?.unsubscribeCrosshairMove(this.onCrosshairMove);
    this.plots.forEach((plot) => plot.markers?.detach());
    this.chart?.remove();

    this.chart = null;
    this.averagePlot = null;
    this.allYears = [];
    this.tableRows = [];

    this.plots.clear();
    this.legend.replaceChildren();

    this.statusElement.style.display = 'none';
  }
}

function getCrosshairValue(event: MouseEventParams, series: ISeriesApi<'Line'>): number | null {
  const point = event.seriesData.get(series);

  return point && 'value' in point && typeof point.value === 'number' ? point.value : null;
}

function mergeHistoryPage(loaded: Candle[], candles: Map<number, Candle>): { oldest: Candle; newestTime: number } {
  let oldest = loaded[0];
  let oldestTime = Infinity;
  let newestTime = -Infinity;

  for (let index = loaded.length - 1; index >= 0; index -= 1) {
    const candle = loaded[index];

    if (!Number.isFinite(candle.time) || !Number.isFinite(candle.close)) {
      throw new Error('Invalid daily candle');
    }

    const time = Math.floor(candle.time > 1e10 ? candle.time / 1000 : candle.time);

    const normalized = time === candle.time ? candle : { ...candle, time };

    newestTime = Math.max(newestTime, time);

    if (time < oldestTime) {
      oldest = normalized;
      oldestTime = time;
    }

    if (!candles.has(time)) {
      candles.set(time, normalized);
    }
  }

  return { oldest, newestTime };
}

function getThemeOptions() {
  const { colors } = getThemeStore();

  return {
    layout: {
      background: {
        type: ColorType.Solid,
        color: colors.chartBackground,
      },
      textColor: colors.chartTextPrimary,
      panes: {
        separatorColor: colors.chartPaneSeparator,
        separatorHoverColor: colors.chartPaneSeparator,
        enableResize: false,
      },
    },

    grid: {
      vertLines: {
        color: colors.chartGridLine,
      },
      horzLines: {
        color: colors.chartGridLine,
      },
    },

    crosshair: {
      mode: CrosshairMode.Normal,
      vertLine: {
        color: colors.chartCrosshairLine,
        labelBackgroundColor: colors.chartCrosshairLabel,
        style: LineStyle.Solid,
      },
      horzLine: {
        color: colors.chartCrosshairLine,
        labelBackgroundColor: colors.chartCrosshairLabel,
        style: LineStyle.Dashed,
      },
    },
  };
}

function formatSeasonDate(time: Time): string {
  if (typeof time === 'object') {
    const day = String(time.day).padStart(2, '0');
    const month = String(time.month).padStart(2, '0');

    return `${day}.${month}`;
  }

  const date = typeof time === 'number' ? new Date(time * 1000).toISOString() : time;

  return `${date.slice(8, 10)}.${date.slice(5, 7)}`;
}

function getYearColor(year: number): string {
  return COMPARE_COLOR_PALETTE[year % COMPARE_COLOR_PALETTE.length];
}

function createSeasonalityElements(container: HTMLElement) {
  const chartContainer = document.createElement('div');
  const legend = document.createElement('div');
  const statusElement = document.createElement('div');

  Object.assign(chartContainer.style, {
    position: 'absolute',
    inset: 0,
  });

  Object.assign(legend.style, {
    width: 'max-content',
    position: 'absolute',
    top: 0,
    left: 0,
    display: 'grid',
    gridTemplateColumns: 'max-content max-content',
    justifyContent: 'start',
    alignItems: 'center',
    gap: 'var(--space-0125) var(--space-0500)',
    fontSize: 'var(--space-0750)',
    lineHeight: 'var(--space-1000)',
    fontVariantNumeric: 'tabular-nums',
    pointerEvents: 'none',
    zIndex: ZIndex.Legend,
  });

  Object.assign(statusElement.style, {
    position: 'absolute',
    inset: 0,
    display: 'none',
    alignItems: 'center',
    justifyContent: 'center',
    textAlign: 'center',
    pointerEvents: 'none',
  });

  container.append(chartContainer, legend, statusElement);

  return { chartContainer, legend, statusElement };
}


















import { PriceScaleMode } from 'lightweight-charts';

import {
  buildSeasonality,
  buildSeasonalityAverage,
  buildSeasonalityTable,
  buildSeasonalityTableAverage,
  normalizeRange,
  toSeriesData,
} from '@src/utils/seasonality';

import type { SeasonalityTableRow } from '@src/types';

describe('normalizeRange', () => {
  it.each([
    [
      { fromYear: 2010, toYear: 2040 },
      { fromYear: 2020, toYear: 2025 },
    ],
    [
      { fromYear: 2022.6, toYear: 2024.4 },
      { fromYear: 2023, toYear: 2024 },
    ],
    [
      { fromYear: 2024, toYear: 2021 },
      { fromYear: 2024, toYear: 2024 },
    ],
    [
      { fromYear: 2010, toYear: 2011 },
      { fromYear: 2020, toYear: 2020 },
    ],
  ])('должен ограничивать и упорядочивать диапазон %j', (input, expected) => {
    expect(normalizeRange(input, 2020, 2025)).toEqual(expected);
  });

  it.each([NaN, Infinity, -Infinity])('должен отклонять некорректную границу %s', (value) => {
    expect(() => normalizeRange({ fromYear: value, toYear: 2024 }, 2020, 2025)).toThrow('Invalid year range');

    expect(() => normalizeRange({ fromYear: 2020, toYear: value }, 2020, 2025)).toThrow('Invalid year range');
  });
});

describe('buildSeasonality', () => {
  it('должен возвращать пустой результат для пустой истории', () => {
    expect(buildSeasonality([])).toEqual([]);
  });

  it('должен сортировать данные без изменения исходного массива и выбирать базу отдельно для каждого года', () => {
    const rows = [
      { date: '2024-01-03', close: 125 },
      { date: '2023-12-31', close: 50 },
      { date: '2024-01-02', close: 100 },
    ];

    const snapshot = rows.map((row) => ({ ...row }));
    const years = buildSeasonality(rows);

    expect(rows).toEqual(snapshot);
    expect(years.map(({ year, baselinePrice }) => [year, baselinePrice])).toEqual([
      [2023, 50],
      [2024, 100],
    ]);
    expect(years[1].baselineDate).toBe('2024-01-02');
    expect(years[1].points.map(({ percentage }) => percentage)).toEqual([0, 25]);
    expect(years[1].points[0].chartDate).toBe('2000-01-02');
  });

  it('должен рассчитывать отрицательную доходность', () => {
    const [year] = buildSeasonality([
      { date: '2024-01-01', close: 100 },
      { date: '2024-01-02', close: 75 },
    ]);

    expect(year.points[1].percentage).toBe(-25);
  });

  it.each([0, -10])('должен сохранять цены без процентов при неположительной базе %s', (close) => {
    const [year] = buildSeasonality([
      { date: '2024-01-01', close },
      { date: '2024-01-02', close: 10 },
    ]);

    expect(year.points.map((point) => point.percentage)).toEqual([null, null]);
    expect(year.points[1].price).toBe(10);
  });

  it('должен отклонять повторяющиеся даты независимо от порядка данных', () => {
    expect(() =>
      buildSeasonality([
        { date: '2024-01-01', close: 100 },
        { date: '2023-01-01', close: 90 },
        { date: '2024-01-01', close: 101 },
      ]),
    ).toThrow('Multiple daily candles');
  });

  it('должен отклонять переполнение при расчёте доходности', () => {
    expect(() =>
      buildSeasonality([
        { date: '2024-01-01', close: Number.MIN_VALUE },
        { date: '2024-01-02', close: Number.MAX_VALUE },
      ]),
    ).toThrow('Invalid percentage');
  });
});

describe('toSeriesData', () => {
  it('должен совмещать годы по високосному календарю и сохранять пропуски торговых дней', () => {
    const [year] = buildSeasonality([
      { date: '2023-02-28', close: 100 },
      { date: '2023-03-01', close: 110 },
    ]);

    const data = toSeriesData(year, PriceScaleMode.Normal);

    expect(data).toHaveLength(366);
    expect(data[0]).toEqual({ time: '2000-01-01' });
    expect(data[data.length - 1]).toEqual({ time: '2000-12-31' });

    expect(data.find((point) => point.time === '2000-02-28')).toEqual({
      time: '2000-02-28',
      value: 100,
    });

    expect(data.find((point) => point.time === '2000-02-29')).toEqual({
      time: '2000-02-29',
    });

    expect(data.find((point) => point.time === '2000-03-01')).toEqual({
      time: '2000-03-01',
      value: 110,
    });
  });

  it('должен сохранять 29 февраля и рассчитывать процентные значения', () => {
    const [year] = buildSeasonality([
      { date: '2024-02-29', close: 10 },
      { date: '2024-03-01', close: 15 },
    ]);

    const data = toSeriesData(year, PriceScaleMode.Percentage);

    expect(data.find((point) => point.time === '2000-02-29')).toEqual({
      time: '2000-02-29',
      value: 0,
    });

    expect(data.find((point) => point.time === '2000-03-01')).toEqual({
      time: '2000-03-01',
      value: 50,
    });
  });

  it('должен оставлять пропуски вместо процентов при отсутствии положительной базы', () => {
    const [year] = buildSeasonality([{ date: '2024-01-01', close: 0 }]);

    expect(toSeriesData(year, PriceScaleMode.Percentage)[0]).toEqual({
      time: '2000-01-01',
    });

    expect(toSeriesData(year, PriceScaleMode.Normal)[0]).toEqual({
      time: '2000-01-01',
      value: 0,
    });
  });
});

describe('buildSeasonalityTable', () => {
  it('должен возвращать пустую таблицу без истории', () => {
    expect(buildSeasonalityTable([])).toEqual([]);
  });

  it('должен использовать последние закрытия месяцев и предыдущий декабрь', () => {
    const years = buildSeasonality([
      { date: '2024-02-29', close: 121 },
      { date: '2024-01-31', close: 110 },
      { date: '2023-12-29', close: 100 },
      { date: '2024-01-02', close: 105 },
    ]);

    const [row] = buildSeasonalityTable(years);

    expect(buildSeasonalityTable(years).map((item) => item.year)).toEqual([2024, 2023]);
    expect(row.months).toHaveLength(12);
    expect(row.months[0]?.absolute).toBe(10);
    expect(row.months[0]?.percentage).toBeCloseTo(10, 10);
    expect(row.months[1]?.absolute).toBe(11);
    expect(row.months[1]?.percentage).toBeCloseTo(10, 10);
    expect(row.total?.absolute).toBe(21);
    expect(row.total?.percentage).toBeCloseTo(21, 10);
    expect(row.months.slice(2)).toEqual(Array(10).fill(null));
  });

  it('должен рассчитывать первый неполный месяц и год от первой доступной цены', () => {
    const years = buildSeasonality([
      { date: '2021-10-15', close: 100 },
      { date: '2021-10-29', close: 101 },
      { date: '2021-11-30', close: 105 },
      { date: '2021-12-30', close: 106 },
    ]);

    const [row] = buildSeasonalityTable(years);

    expect(row.months.slice(0, 9)).toEqual(Array(9).fill(null));
    expect(row.months[9]?.absolute).toBe(1);
    expect(row.months[9]?.percentage).toBeCloseTo(1, 10);
    expect(row.months[10]?.absolute).toBe(4);
    expect(row.months[11]?.absolute).toBe(1);
    expect(row.total?.absolute).toBe(6);
    expect(row.total?.percentage).toBeCloseTo(6, 10);
  });

  it('должен сохранять пропуски внутри года и рассчитывать итог по доступным ценам', () => {
    const years = buildSeasonality([
      { date: '2024-01-02', close: 100 },
      { date: '2024-01-31', close: 110 },
      { date: '2024-03-15', close: 120 },
      { date: '2024-03-29', close: 132 },
      { date: '2024-04-30', close: 132 },
    ]);

    const [row] = buildSeasonalityTable(years);

    expect(row.months[1]).toBeNull();
    expect(row.months[2]).toBeNull();
    expect(row.months[3]).toEqual({
      absolute: 0,
      percentage: 0,
    });
    expect(row.total?.absolute).toBe(32);
    expect(row.total?.percentage).toBeCloseTo(32, 10);
  });

  it.each([0, -10])('должен сохранять неположительную базу предыдущего декабря %s', (baseline) => {
    const years = buildSeasonality([
      { date: '2023-12-29', close: baseline },
      { date: '2024-01-02', close: 50 },
      { date: '2024-01-31', close: 100 },
    ]);

    const [row] = buildSeasonalityTable(years);

    expect(row.months[0]).toEqual({
      absolute: 100 - baseline,
      percentage: null,
    });
    expect(row.total).toEqual({
      absolute: 100 - baseline,
      percentage: null,
    });
  });

  it('должен использовать первую цену года при отсутствии предыдущего декабря', () => {
    const years = buildSeasonality([
      { date: '2023-11-30', close: 80 },
      { date: '2024-01-02', close: 100 },
      { date: '2024-01-31', close: 110 },
    ]);

    const [row] = buildSeasonalityTable(years);

    expect(row.months[0]?.absolute).toBe(10);
    expect(row.months[0]?.percentage).toBeCloseTo(10, 10);
    expect(row.total?.absolute).toBe(10);
    expect(row.total?.percentage).toBeCloseTo(10, 10);
  });

  it('должен сохранять точность и рассчитывать отрицательный годовой итог', () => {
    const years = buildSeasonality([
      { date: '2023-12-29', close: 100 },
      { date: '2024-01-31', close: 90 },
      { date: '2024-02-29', close: 99.0044 },
    ]);

    const [row] = buildSeasonalityTable(years);

    expect(row.months[0]?.percentage).toBeCloseTo(-10, 10);
    expect(row.months[1]?.absolute).toBeCloseTo(9.0044, 10);
    expect(row.total?.absolute).toBeCloseTo(-0.9956, 10);
    expect(row.total?.percentage).toBeCloseTo(-0.9956, 10);
  });
});

describe('buildSeasonalityAverage', () => {
  it('должен возвращать календарь без значений для пустой истории', () => {
    const data = buildSeasonalityAverage([], PriceScaleMode.Normal);

    expect(data).toHaveLength(366);
    expect(data[0]).toEqual({ time: '2000-01-01' });
    expect(data[data.length - 1]).toEqual({ time: '2000-12-31' });
    expect(data.every((point) => !('value' in point))).toBe(true);
  });

  it('должен усреднять только доступные цены, включая нули', () => {
    const years = buildSeasonality([
      { date: '2023-01-01', close: 100 },
      { date: '2023-01-02', close: 200 },
      { date: '2024-01-01', close: 200 },
      { date: '2024-01-02', close: 200 },
      { date: '2025-01-01', close: 0 },
      { date: '2025-01-03', close: 20 },
    ]);

    const data = buildSeasonalityAverage(years, PriceScaleMode.Normal);

    expect(data[0]).toEqual({ time: '2000-01-01', value: 100 });
    expect(data[1]).toEqual({ time: '2000-01-02', value: 200 });
    expect(data[2]).toEqual({ time: '2000-01-03', value: 20 });
    expect(data[3]).toEqual({ time: '2000-01-04' });
  });

  it('должен усреднять проценты каждого года и исключать отсутствующую базу', () => {
    const years = buildSeasonality([
      { date: '2023-01-01', close: 100 },
      { date: '2023-01-02', close: 200 },
      { date: '2024-01-01', close: 200 },
      { date: '2024-01-02', close: 200 },
      { date: '2025-01-01', close: 0 },
      { date: '2025-01-03', close: 20 },
    ]);

    const data = buildSeasonalityAverage(years, PriceScaleMode.Percentage);

    expect(data[0]).toEqual({ time: '2000-01-01', value: 0 });
    expect(data[1]).toEqual({ time: '2000-01-02', value: 50 });
    expect(data[2]).toEqual({ time: '2000-01-03' });
  });

  it('должен сохранять нулевое среднее отрицательных и положительных процентов', () => {
    const years = buildSeasonality([
      { date: '2023-01-01', close: 100 },
      { date: '2023-01-02', close: 0 },
      { date: '2024-01-01', close: 100 },
      { date: '2024-01-02', close: 200 },
    ]);

    expect(buildSeasonalityAverage(years, PriceScaleMode.Percentage)[1]).toEqual({
      time: '2000-01-02',
      value: 0,
    });
  });

  it('должен учитывать 29 февраля без заполнения отсутствующих дат', () => {
    const years = buildSeasonality([
      { date: '2023-02-28', close: 100 },
      { date: '2024-02-29', close: 200 },
    ]);

    const data = buildSeasonalityAverage(years, PriceScaleMode.Normal);

    expect(data.find((point) => point.time === '2000-02-28')).toEqual({
      time: '2000-02-28',
      value: 100,
    });
    expect(data.find((point) => point.time === '2000-02-29')).toEqual({
      time: '2000-02-29',
      value: 200,
    });
    expect(data.find((point) => point.time === '2000-03-01')).toEqual({
      time: '2000-03-01',
    });
  });

  it('должен сохранять точность и не изменять исходные годы', () => {
    const years = buildSeasonality([
      { date: '2023-01-01', close: 3.123456 },
      { date: '2024-01-01', close: 7.987654 },
    ]);
    const snapshot = JSON.parse(JSON.stringify(years));
    const [point] = buildSeasonalityAverage(years, PriceScaleMode.Normal);

    expect('value' in point && point.value).toBeCloseTo(5.555555, 10);
    expect(years).toEqual(snapshot);
  });

  it('должен усреднять доступные проценты после первого года без положительной базы', () => {
    const years = buildSeasonality([
      { date: '2023-01-01', close: 0 },
      { date: '2023-01-02', close: 10 },
      { date: '2024-01-01', close: 100 },
      { date: '2024-01-02', close: 50 },
      { date: '2025-01-01', close: 200 },
      { date: '2025-01-02', close: 300 },
    ]);

    const data = buildSeasonalityAverage(years, PriceScaleMode.Percentage);

    expect(data[0]).toEqual({ time: '2000-01-01', value: 0 });
    expect(data[1]).toEqual({ time: '2000-01-02', value: 0 });
  });

  it('должен оставлять весь календарь пустым при отсутствии процентной базы у всех лет', () => {
    const years = buildSeasonality([
      { date: '2023-01-01', close: 0 },
      { date: '2023-01-02', close: 10 },
      { date: '2024-01-01', close: -100 },
      { date: '2024-01-02', close: 50 },
    ]);

    const data = buildSeasonalityAverage(years, PriceScaleMode.Percentage);

    expect(data).toHaveLength(366);
    expect(data.every((point) => !('value' in point))).toBe(true);
  });
});

describe('buildSeasonalityTableAverage', () => {
  it('должен возвращать null без строк', () => {
    expect(buildSeasonalityTableAverage([])).toBeNull();
  });

  it('должен отдельно усреднять месяцы и годовые итоги с учётом нулей и пропусков', () => {
    const rows: SeasonalityTableRow[] = [
      {
        year: 2023,
        months: [{ absolute: 10, percentage: 10 }, null, { absolute: 0, percentage: 0 }],
        total: { absolute: 30, percentage: 30 },
      },
      {
        year: 2024,
        months: [
          { absolute: 20, percentage: null },
          { absolute: -5, percentage: -5 },
        ],
        total: { absolute: -10, percentage: -10 },
      },
      {
        year: 2025,
        months: [{ absolute: 0, percentage: 0 }],
        total: null,
      },
    ];
    const snapshot = JSON.parse(JSON.stringify(rows));
    const average = buildSeasonalityTableAverage(rows)!;

    expect(average.months).toHaveLength(12);
    expect(average.months[0]).toEqual({ absolute: 10, percentage: 5 });
    expect(average.months[1]).toEqual({ absolute: -5, percentage: -5 });
    expect(average.months[2]).toEqual({ absolute: 0, percentage: 0 });
    expect(average.months.slice(3)).toEqual(Array(9).fill(null));
    expect(average.total).toEqual({ absolute: 10, percentage: 10 });
    expect(rows).toEqual(snapshot);
  });

  it('должен сохранять абсолютное среднее при отсутствии процентных значений', () => {
    const average = buildSeasonalityTableAverage([
      {
        year: 2024,
        months: [{ absolute: 0, percentage: null }],
        total: { absolute: -2, percentage: null },
      },
    ])!;

    expect(average.months[0]).toEqual({ absolute: 0, percentage: null });
    expect(average.total).toEqual({ absolute: -2, percentage: null });
  });

  it('должен возвращать пропуски для полностью пустых колонок и итогов', () => {
    expect(buildSeasonalityTableAverage([{ year: 2024, months: [], total: null }])).toEqual({
      months: Array(12).fill(null),
      total: null,
    });
  });

  it('не должен округлять средние значения до точности отображения', () => {
    const average = buildSeasonalityTableAverage([
      { year: 2023, months: [], total: { absolute: 3.123456, percentage: 1.123456 } },
      { year: 2024, months: [], total: { absolute: 7.987654, percentage: 2.987654 } },
    ])!;

    expect(average.total?.absolute).toBeCloseTo(5.555555, 10);
    expect(average.total?.percentage).toBeCloseTo(2.055555, 10);
  });
});


















import { createChart, createSeriesMarkers, LineStyle, PriceScaleMode } from 'lightweight-charts';

import { SeasonalityManager } from '@core/SeasonalityManager';

import { createInitialSeasonalityState } from '@src/constants';
import { getThemeStore } from '@src/theme/store';
import { SeasonalityViewType } from '@src/types';
import { Timeframes } from '@src/types/timeframes';
import { canvasToBlob, drawTextLayer } from '@src/utils';
import { setPricePrecision } from '@src/utils/precision';

import type { Candle } from '@src/types';
import type { ChartOptions, DeepPartial, LineData, LineSeriesPartialOptions, WhitespaceData } from 'lightweight-charts';

interface SeriesTestContext {
  options: LineSeriesPartialOptions;
  applyOptions: jest.Mock;
  setData: jest.Mock;
  priceFormatter: () => {
    format: (value: number) => string;
  };
}

interface ChartTestContext {
  options: DeepPartial<ChartOptions>;
  series: SeriesTestContext[];
  addSeries: jest.Mock;
  applyOptions: jest.Mock;
  removeSeries: jest.Mock;
  remove: jest.Mock;
  timeScale: () => {
    setVisibleRange: jest.Mock;
  };
  subscribeCrosshairMove: jest.Mock;
  unsubscribeCrosshairMove: jest.Mock;
  takeScreenshot: jest.Mock;
  chartElement: () => HTMLElement;
}

interface MarkersTestContext {
  setMarkers: jest.Mock;
  detach: jest.Mock;
}

const mocks = {
  charts: [] as ChartTestContext[],
  markers: [] as MarkersTestContext[],
};

function createSeriesContext(options: LineSeriesPartialOptions): SeriesTestContext {
  return {
    options,
    applyOptions: jest.fn(),
    setData: jest.fn(),
    priceFormatter: () => ({
      format: (value: number) => value.toFixed(2),
    }),
  };
}

function createChartContext(container: HTMLElement, options: DeepPartial<ChartOptions>): ChartTestContext {
  const timeScale = {
    setVisibleRange: jest.fn(),
  };

  const series: SeriesTestContext[] = [];

  return {
    options,
    series,
    addSeries: jest.fn((_type: unknown, seriesOptions: LineSeriesPartialOptions) => {
      const item = createSeriesContext(seriesOptions);

      series.push(item);

      return item;
    }),
    applyOptions: jest.fn(),
    removeSeries: jest.fn(),
    remove: jest.fn(),
    timeScale: () => timeScale,
    subscribeCrosshairMove: jest.fn(),
    unsubscribeCrosshairMove: jest.fn(),
    takeScreenshot: jest.fn(() => document.createElement('canvas')),
    chartElement: () => container,
  };
}

jest.mock('lightweight-charts', () => ({
  ...jest.requireActual('lightweight-charts'),
  createChart: jest.fn(),
  createSeriesMarkers: jest.fn(),
}));

jest.mock('@src/theme/store', () => ({
  getThemeStore: jest.fn(),
}));

jest.mock('@src/translations', () => ({
  t: (key: string) => key,
  getLocale: () => 'en',
}));

jest.mock('@src/utils', () => ({
  ...jest.requireActual('@src/utils/seasonality'),
  ...jest.requireActual('@src/utils/precision'),
  formatCompactNumber: (value: number) => String(value),
  formatPercent: (value: number) => `${value.toFixed(2)}%`,
  canvasToBlob: jest.fn(),
  drawTextLayer: jest.fn(),
}));

function getLastCall(mock: jest.Mock) {
  return mock.mock.calls[mock.mock.calls.length - 1];
}

function getLegendValue(label: string): string | null {
  const element = [...container.querySelectorAll('span')].find((item) => item.textContent === label);

  return element?.nextElementSibling?.textContent ?? null;
}

function createCandle(date: string, close = 100, milliseconds = false): Candle {
  return {
    time: Date.parse(`${date}T12:00:00Z`) / (milliseconds ? 1 : 1000),
    open: close,
    high: close,
    low: close,
    close,
    volume: 1,
  };
}

function createDeferred<T>() {
  let resolve!: (value: T) => void;
  let reject!: (reason: unknown) => void;

  const promise = new Promise<T>((yes, no) => {
    resolve = yes;
    reject = no;
  });

  return { promise, resolve, reject };
}

let container: HTMLDivElement;
let manager: SeasonalityManager;
let getData: jest.Mock;
let state: ReturnType<typeof createInitialSeasonalityState>;
let frames: Map<number, FrameRequestCallback>;
let nextFrame: number;
let clipboardDescriptor: PropertyDescriptor | undefined;
let clipboardItemDescriptor: PropertyDescriptor | undefined;

const colors = {
  chartBackground: '#ffffff',
  chartTextPrimary: '#111111',
  chartPaneSeparator: '#222222',
  chartGridLine: '#333333',
  chartCrosshairLine: '#444444',
  chartCrosshairLabel: '#555555',
};

function createManager() {
  manager = new SeasonalityManager({
    container,
    getData,
  });

  manager.getState().subscribe((value) => {
    state = value;
  });
}

function flushAnimationFrames() {
  const callbacks = [...frames.values()];

  frames.clear();

  callbacks.forEach((callback) => callback(0));
}

async function loadSampleHistory() {
  getData
    .mockResolvedValueOnce([
      createCandle('2020-01-01'),
      createCandle('2023-01-01'),
      createCandle('2025-01-01'),
      createCandle('2025-01-02', 125),
    ])
    .mockResolvedValueOnce(null);

  await manager.show('AAA', {
    fromYear: 2020,
    toYear: 2025,
  });
}

beforeEach(() => {
  clipboardDescriptor = Object.getOwnPropertyDescriptor(navigator, 'clipboard');
  clipboardItemDescriptor = Object.getOwnPropertyDescriptor(globalThis, 'ClipboardItem');

  jest.useFakeTimers();
  jest.setSystemTime(new Date('2025-06-01T12:00:00Z'));
  setPricePrecision(3);

  jest.spyOn(console, 'error').mockImplementation(() => {});

  mocks.charts.length = 0;
  mocks.markers.length = 0;

  (createChart as jest.Mock).mockImplementation((element: HTMLElement, options: DeepPartial<ChartOptions>) => {
    const chart = createChartContext(element, options);

    mocks.charts.push(chart);

    return chart;
  });

  (createSeriesMarkers as jest.Mock).mockImplementation(() => {
    const markers = {
      setMarkers: jest.fn(),
      detach: jest.fn(),
    };

    mocks.markers.push(markers);

    return markers;
  });

  frames = new Map();
  nextFrame = 0;

  jest.spyOn(window, 'requestAnimationFrame').mockImplementation((callback) => {
    frames.set(++nextFrame, callback);

    return nextFrame;
  });

  jest.spyOn(window, 'cancelAnimationFrame').mockImplementation((id) => {
    frames.delete(id);
  });

  jest.mocked(getThemeStore).mockReturnValue({
    colors,
  } as ReturnType<typeof getThemeStore>);

  getData = jest.fn();

  container = document.createElement('div');

  document.body.append(container);

  state = createInitialSeasonalityState();

  createManager();
});

afterEach(() => {
  manager.destroy();
  container.remove();
  setPricePrecision();

  if (clipboardDescriptor) {
    Object.defineProperty(navigator, 'clipboard', clipboardDescriptor);
  } else {
    Reflect.deleteProperty(navigator, 'clipboard');
  }

  if (clipboardItemDescriptor) {
    Object.defineProperty(globalThis, 'ClipboardItem', clipboardItemDescriptor);
  } else {
    Reflect.deleteProperty(globalThis, 'ClipboardItem');
  }

  jest.restoreAllMocks();
  jest.clearAllMocks();
  jest.useRealTimers();
});

describe('SeasonalityManager: загрузка истории', () => {
  it('должен загружать дневные страницы, нормализовать время и удалять граничные дубликаты', async () => {
    const boundary = createCandle('2025-01-02', 125);

    getData
      .mockResolvedValueOnce([boundary, createCandle('2025-01-03', 150, true)])
      .mockResolvedValueOnce([createCandle('2025-01-01', 100), boundary])
      .mockResolvedValueOnce(null);

    await manager.show('AAA');

    expect(state.status).toBe('ready');
    expect(getData.mock.calls.map((args) => args.slice(0, 2))).toEqual(Array(3).fill([Timeframes['1d'], 'AAA']));
    expect(getData.mock.calls[1][2].time).toBe(boundary.time);

    manager.setScale(PriceScaleMode.Normal);

    const data = getLastCall(mocks.charts[0].series[0].setData)[0];

    expect(data.filter((point: LineData | WhitespaceData) => 'value' in point)).toEqual([
      { time: '2000-01-01', value: 100 },
      { time: '2000-01-02', value: 125 },
      { time: '2000-01-03', value: 150 },
    ]);
  });

  it('должен завершать загрузку при повторении только граничной свечи', async () => {
    const first = createCandle('2025-01-01');

    getData.mockResolvedValueOnce([first]).mockResolvedValueOnce([first]);

    await manager.show('AAA');

    expect(state.status).toBe('ready');
    expect(getData).toHaveBeenCalledTimes(2);
  });

  it('должен показывать ошибку при отсутствии прогресса пагинации', async () => {
    getData.mockResolvedValueOnce([createCandle('2025-01-01')]).mockResolvedValueOnce([createCandle('2025-01-02')]);

    await manager.show('AAA');

    expect(state.status).toBe('error');
    expect(state.error).toContain('made no progress');
  });

  it.each([{ page: null }, { page: [] }])('должен показывать пустое состояние для страницы $page', async ({ page }) => {
    getData.mockResolvedValueOnce(page);

    await manager.show('AAA');

    expect(state.status).toBe('empty');
    expect(mocks.charts).toHaveLength(0);
    expect(container.textContent).toContain('No seasonality data');
  });

  it('не должен запрашивать историю без выбранного инструмента', async () => {
    await manager.show('');

    expect(state.status).toBe('error');
    expect(getData).not.toHaveBeenCalled();
  });

  it.each(['time', 'close'] as const)('должен отклонять некорректное поле %s', async (field) => {
    getData.mockResolvedValueOnce([
      {
        ...createCandle('2025-01-01'),
        [field]: NaN,
      },
    ]);

    await manager.show('AAA');

    expect(state.status).toBe('error');
    expect(state.error).toContain('Invalid daily candle');
  });

  it('должен повторно загружать историю после ошибки', async () => {
    getData.mockRejectedValueOnce(new Error('network'));

    await manager.show('AAA');

    expect(state.status).toBe('error');

    await loadSampleHistory();

    expect(state.status).toBe('ready');
    expect(state.error).toBeNull();
  });

  it('не должен применять ответ после очистки сезонности', async () => {
    const request = createDeferred<Candle[]>();

    getData.mockReturnValueOnce(request.promise);

    const loading = manager.show('AAA');

    expect(state.status).toBe('loading');

    manager.clear();

    request.resolve([createCandle('2025-01-01')]);

    await loading;

    expect(state.status).toBe('idle');
    expect(state.tableRows).toEqual([]);
    expect(mocks.charts).toHaveLength(0);
  });

  it('не должен применять ошибку предыдущего инструмента', async () => {
    const old = createDeferred<Candle[]>();

    getData.mockReturnValueOnce(old.promise);

    const loading = manager.show('OLD');

    getData.mockResolvedValueOnce([createCandle('2025-01-01')]).mockResolvedValueOnce(null);

    await manager.show('NEW');

    old.reject(new Error('late failure'));

    await loading;

    expect(state.symbolId).toBe('NEW');
    expect(state.status).toBe('ready');
    expect(state.tableRows.map((row) => row.year)).toEqual([2025]);
    expect(console.error).not.toHaveBeenCalled();
  });

  it('не должен применять данные предыдущего инструмента', async () => {
    const old = createDeferred<Candle[]>();

    getData.mockReturnValueOnce(old.promise);

    const loading = manager.show('OLD');

    getData.mockResolvedValueOnce([createCandle('2025-01-01')]).mockResolvedValueOnce(null);

    await manager.show('NEW');

    old.resolve([createCandle('2020-01-01')]);

    await loading;

    expect(state.symbolId).toBe('NEW');
    expect(state.minYear).toBe(2025);
    expect(state.tableRows.map((row) => row.year)).toEqual([2025]);
    expect(mocks.charts).toHaveLength(1);
  });

  it('не должен повторно запрашивать загружаемый инструмент', async () => {
    const request = createDeferred<Candle[]>();

    getData.mockReturnValueOnce(request.promise);

    const loading = manager.show('AAA');

    await manager.show('AAA');

    expect(getData).toHaveBeenCalledTimes(1);

    request.resolve([]);

    await loading;
  });

  it('должен использовать загруженную историю при изменении диапазона', async () => {
    await loadSampleHistory();

    const count = getData.mock.calls.length;

    await manager.show('AAA', {
      fromYear: 2025,
      toYear: 2025,
    });

    flushAnimationFrames();

    expect(getData).toHaveBeenCalledTimes(count);
    expect(state.fromYear).toBe(2025);
    expect(mocks.charts[0].removeSeries).toHaveBeenCalledTimes(2);
  });

  it('должен выбирать последние пять календарных лет по умолчанию', async () => {
    getData.mockResolvedValueOnce([createCandle('2020-01-01'), createCandle('2025-01-01')]).mockResolvedValueOnce(null);

    await manager.show('AAA');

    expect(state.fromYear).toBe(2021);
    expect(state.toYear).toBe(2025);
  });
});

describe('SeasonalityManager: отображение и очистка', () => {
  it('должен объединять изменения диапазона в один кадр и применять последнее значение', async () => {
    await loadSampleHistory();

    manager.setRange({
      fromYear: 2020,
      toYear: 2023,
    });
    manager.setRange({
      fromYear: 2023,
      toYear: 2023,
    });

    expect(frames.size).toBe(1);

    flushAnimationFrames();

    expect(state.status).toBe('ready');
    expect(container.textContent).toContain('2023');
    expect(container.textContent).not.toContain('2025');
    expect(mocks.markers[0].detach).toHaveBeenCalledTimes(1);
  });

  it('не должен перерисовывать прежний диапазон и должен поддерживать диапазон без данных', async () => {
    await loadSampleHistory();

    manager.setRange({
      fromYear: 2020,
      toYear: 2025,
    });

    expect(frames.size).toBe(0);

    manager.setRange({
      fromYear: 2021,
      toYear: 2022,
    });

    flushAnimationFrames();

    expect(state.status).toBe('empty');
    expect(container.textContent).toContain('No seasonality data');
  });

  it('должен переключать формат значений без пересоздания графика', async () => {
    await loadSampleHistory();

    manager.setScale(PriceScaleMode.Normal);
    manager.setScale(PriceScaleMode.Percentage);

    const series = mocks.charts[0].series[mocks.charts[0].series.length - 1];
    const { priceFormat } = getLastCall(series.applyOptions)[0];

    expect(priceFormat.formatter(12.5)).toBe('12.50%');
    expect(priceFormat.minMove).toBe(0.01);

    manager.setScale(PriceScaleMode.Normal);

    expect(getLastCall(series.applyOptions)[0].priceFormat.minMove).toBe(0.001);
    expect(mocks.charts).toHaveLength(1);
    expect(mocks.charts[0].timeScale().setVisibleRange).toHaveBeenCalledWith({
      from: '2000-01-01',
      to: '2000-12-31',
    });
    expect(getLastCall(mocks.markers[0].setMarkers)[0][0].time).toBe('2000-01-02');
  });

  it.each([0, 6])('должен брать шаг цены из общей точности %s', async (precision) => {
    await loadSampleHistory();

    const series = mocks.charts[0].series[mocks.charts[0].series.length - 1];
    const count = getData.mock.calls.length;

    setPricePrecision(precision);

    manager.setScale(PriceScaleMode.Percentage);
    manager.setScale(PriceScaleMode.Normal);

    expect(getLastCall(series.applyOptions)[0].priceFormat.minMove).toBe(10 ** -precision);

    manager.setScale(PriceScaleMode.Percentage);

    const { priceFormat } = getLastCall(series.applyOptions)[0];

    expect(priceFormat.minMove).toBe(0.01);
    expect(priceFormat.formatter(12.5)).toBe('12.50%');
    expect(getData).toHaveBeenCalledTimes(count);
    expect(mocks.charts).toHaveLength(1);
  });

  it('должен показывать предупреждение о базе только для процентной шкалы', async () => {
    getData.mockResolvedValueOnce([createCandle('2025-01-01', 0)]).mockResolvedValueOnce(null);

    await manager.show('AAA');

    manager.setScale(PriceScaleMode.Percentage);

    expect(container.textContent).toContain('Percentage requires a positive baseline');
    expect(getLastCall(mocks.markers[0].setMarkers)[0]).toEqual([]);

    manager.setScale(PriceScaleMode.Normal);

    expect((container.lastElementChild as HTMLElement).style.display).toBe('none');
  });

  it('должен применять актуальные цвета темы при создании и обновлении графика', async () => {
    await loadSampleHistory();

    expect(mocks.charts[0].options.crosshair).toMatchObject({
      vertLine: {
        color: colors.chartCrosshairLine,
        labelBackgroundColor: colors.chartCrosshairLabel,
      },
      horzLine: {
        color: colors.chartCrosshairLine,
        labelBackgroundColor: colors.chartCrosshairLabel,
      },
    });

    jest.mocked(getThemeStore).mockReturnValue({
      colors: {
        ...colors,
        chartTextPrimary: '#999999',
        chartCrosshairLine: '#aabbcc',
        chartCrosshairLabel: '#ddeeff',
      },
    } as ReturnType<typeof getThemeStore>);

    manager.updateTheme();

    expect(getLastCall(mocks.charts[0].applyOptions)[0]).toMatchObject({
      layout: {
        textColor: '#999999',
      },
      crosshair: {
        vertLine: {
          color: '#aabbcc',
          labelBackgroundColor: '#ddeeff',
        },
        horzLine: {
          color: '#aabbcc',
          labelBackgroundColor: '#ddeeff',
        },
      },
    });
  });

  it('должен форматировать все варианты времени как день и месяц', async () => {
    await loadSampleHistory();

    const formatter = mocks.charts[0].options.localization?.timeFormatter;

    if (typeof formatter !== 'function') {
      throw new Error('Time formatter is not configured');
    }

    expect(
      formatter({
        year: 2000,
        month: 2,
        day: 9,
      }),
    ).toBe('09.02');
    expect(formatter('2000-02-09')).toBe('09.02');
    expect(formatter(Date.UTC(2000, 1, 9) / 1000)).toBe('09.02');
  });

  it('должен обновлять легенду по перекрестию и обозначать отсутствующие значения', async () => {
    await loadSampleHistory();

    const chart = mocks.charts[0];
    const listener = chart.subscribeCrosshairMove.mock.calls[0][0];

    listener({
      time: '2000-01-01',
      seriesData: new Map([[chart.series[0], { value: 42 }]]),
    });

    expect(container.textContent).toContain('42.00');
    expect(container.textContent).toContain('—');

    listener({
      time: undefined,
      seriesData: new Map(),
    });

    expect(container.textContent).not.toContain('—');
  });

  it('должен копировать готовый график вместе с легендой', async () => {
    const blob = new Blob(['image'], {
      type: 'image/png',
    });

    const write = jest.fn().mockResolvedValue(undefined);

    jest.mocked(canvasToBlob).mockResolvedValueOnce(blob);

    Object.defineProperty(navigator, 'clipboard', {
      configurable: true,
      value: { write },
    });

    Object.defineProperty(globalThis, 'ClipboardItem', {
      configurable: true,
      value: class {
        constructor(public data: Record<string, Blob>) {}
      },
    });

    await manager.copyImage();

    expect(write).not.toHaveBeenCalled();

    await loadSampleHistory();
    await manager.copyImage();

    expect(mocks.charts[0].takeScreenshot).toHaveBeenCalledWith(true, false);
    expect(drawTextLayer).toHaveBeenCalledTimes(1);
    expect(canvasToBlob).toHaveBeenCalledTimes(1);
    expect(write).toHaveBeenCalledTimes(1);

    const items = write.mock.calls[0][0];

    expect(items[0].data['image/png']).toBe(blob);
  });

  it('должен отменять кадры и освобождать ресурсы при очистке сезонности', async () => {
    await loadSampleHistory();

    manager.setRange({
      fromYear: 2023,
      toYear: 2025,
    });

    const chart = mocks.charts[0];

    manager.clear();
    manager.clear();

    expect(frames.size).toBe(0);
    expect(state.status).toBe('idle');

    flushAnimationFrames();

    expect(mocks.charts).toHaveLength(1);
    expect(chart.remove).toHaveBeenCalledTimes(1);
    expect(chart.unsubscribeCrosshairMove).toHaveBeenCalledWith(chart.subscribeCrosshairMove.mock.calls[0][0]);
    expect(mocks.markers[0].detach).toHaveBeenCalledTimes(1);
  });

  it('должен завершать состояние и игнорировать ответ после уничтожения', async () => {
    const complete = jest.fn();

    manager.getState().subscribe({ complete });

    const request = createDeferred<Candle[]>();

    getData.mockReturnValueOnce(request.promise);

    const loading = manager.show('AAA');

    manager.destroy();
    manager.destroy();
    manager.clear();

    request.resolve([createCandle('2025-01-01')]);

    await loading;
    await manager.show('BBB');

    manager.setRange({
      fromYear: 2020,
      toYear: 2025,
    });
    manager.setScale(PriceScaleMode.Normal);
    manager.setScale(PriceScaleMode.Percentage);
    manager.setDisplayMode(SeasonalityViewType.Table);

    expect(complete).toHaveBeenCalledTimes(1);
    expect(state.displayMode).toBe(SeasonalityViewType.Chart);
    expect(state.scale).toBe(PriceScaleMode.Normal);
    expect(state.tableRows).toEqual([]);
    expect(container.children).toHaveLength(0);
    expect(mocks.charts).toHaveLength(0);
    expect(getData).toHaveBeenCalledTimes(1);
  });

  it('не должен изменять диапазон без загруженной истории', () => {
    const initial = state;

    manager.setRange({
      fromYear: 2020,
      toYear: 2025,
    });
    manager.setScale(PriceScaleMode.Normal);

    expect(state).toBe(initial);
    expect(frames.size).toBe(0);
  });

  it('должен применять шкалу, выбранную во время загрузки', async () => {
    const request = createDeferred<Candle[]>();

    getData.mockReturnValueOnce(request.promise).mockResolvedValueOnce(null);

    const loading = manager.show('AAA');

    manager.setScale(PriceScaleMode.Percentage);

    request.resolve([createCandle('2025-01-01'), createCandle('2025-01-02', 125)]);

    await loading;

    const data = getLastCall(mocks.charts[0].series[0].setData)[0];

    expect(state.scale).toBe(PriceScaleMode.Percentage);
    expect(data.filter((point: LineData | WhitespaceData) => 'value' in point)).toEqual([
      { time: '2000-01-01', value: 0 },
      { time: '2000-01-02', value: 25 },
    ]);
  });

  it('должен восстанавливать отображение после выбора пустого диапазона', async () => {
    await loadSampleHistory();

    const count = getData.mock.calls.length;

    manager.setRange({
      fromYear: 2021,
      toYear: 2022,
    });

    flushAnimationFrames();

    expect(state.status).toBe('empty');

    manager.setRange({
      fromYear: 2023,
      toYear: 2025,
    });

    flushAnimationFrames();

    expect(state.status).toBe('ready');
    expect(getData).toHaveBeenCalledTimes(count);
    expect(mocks.charts).toHaveLength(1);
    expect((container.lastElementChild as HTMLElement).style.display).toBe('none');
  });

  it('должен сбрасывать статус и повторно загружать инструмент после очистки', async () => {
    await loadSampleHistory();

    manager.setScale(PriceScaleMode.Percentage);
    manager.setDisplayMode(SeasonalityViewType.Table);
    manager.clear();

    expect(state.status).toBe('idle');
    expect(state.error).toBeNull();
    expect(state.scale).toBe(PriceScaleMode.Percentage);
    expect(state.displayMode).toBe(SeasonalityViewType.Table);
    expect(state.tableRows).toEqual([]);

    const count = getData.mock.calls.length;

    await loadSampleHistory();

    expect(getData).toHaveBeenCalledTimes(count + 2);
    expect(state.status).toBe('ready');
    expect(state.tableRows.map((row) => row.year)).toEqual([2025, 2023, 2020]);
    expect(mocks.charts).toHaveLength(2);
  });
});

describe('SeasonalityManager: табличный режим', () => {
  it('должен сохранять строки и состояние при повторном открытии загруженного инструмента', async () => {
    await loadSampleHistory();

    manager.setDisplayMode(SeasonalityViewType.Table);

    const previous = state;
    const count = getData.mock.calls.length;

    await manager.show('AAA');

    expect(state).toBe(previous);
    expect(state.tableRows).toBe(previous.tableRows);
    expect(getData).toHaveBeenCalledTimes(count);
    expect(mocks.charts).toHaveLength(1);
  });

  it('не должен повторно отправлять состояние при выборе текущего вида', () => {
    const next = jest.fn();
    const subscription = manager.getState().subscribe(next);

    next.mockClear();

    manager.setDisplayMode(SeasonalityViewType.Chart);

    expect(next).not.toHaveBeenCalled();

    manager.setDisplayMode(SeasonalityViewType.Table);

    const previous = state;

    manager.setDisplayMode(SeasonalityViewType.Table);

    expect(next).toHaveBeenCalledTimes(1);
    expect(state).toBe(previous);
    expect(state.displayMode).toBe(SeasonalityViewType.Table);

    subscription.unsubscribe();
  });

  it('должен показывать изменение первого неполного месяца и годовой итог', async () => {
    getData
      .mockResolvedValueOnce([
        createCandle('2021-10-15', 100),
        createCandle('2021-10-29', 101),
        createCandle('2021-11-30', 105),
        createCandle('2021-12-30', 106),
      ])
      .mockResolvedValueOnce(null);

    await manager.show('AAA');

    const [row] = state.tableRows;

    expect(row.months.slice(0, 9)).toEqual(Array(9).fill(null));
    expect(row.months[9]?.absolute).toBe(1);
    expect(row.months[9]?.percentage).toBeCloseTo(1, 10);
    expect(row.total?.absolute).toBe(6);
    expect(row.total?.percentage).toBeCloseTo(6, 10);
  });

  it('должен использовать декабрь с предыдущей страницы за пределами выбранного диапазона', async () => {
    getData
      .mockResolvedValueOnce([
        createCandle('2024-01-02', 105),
        createCandle('2024-01-31', 110),
        createCandle('2024-02-29', 121),
      ])
      .mockResolvedValueOnce([createCandle('2023-12-29', 100)])
      .mockResolvedValueOnce(null);

    await manager.show('AAA', {
      fromYear: 2024,
      toYear: 2024,
    });

    expect(state.tableRows).toHaveLength(1);

    const [row] = state.tableRows;

    expect(row.year).toBe(2024);
    expect(row.months[0]?.absolute).toBe(10);
    expect(row.months[0]?.percentage).toBeCloseTo(10, 10);
    expect(row.total?.absolute).toBe(21);
    expect(row.total?.percentage).toBeCloseTo(21, 10);
    expect(getData).toHaveBeenCalledTimes(3);
  });

  it('должен рассчитывать месячные и годовые изменения по загруженной истории', async () => {
    getData
      .mockResolvedValueOnce([
        createCandle('2023-12-29', 100),
        createCandle('2024-01-02', 104),
        createCandle('2024-01-31', 110),
        createCandle('2024-02-29', 121),
        createCandle('2024-12-31', 120),
        createCandle('2025-01-31', 132),
      ])
      .mockResolvedValueOnce(null);

    await manager.show('AAA', {
      fromYear: 2024,
      toYear: 2025,
    });

    expect(state.tableRows.map((row) => row.year)).toEqual([2025, 2024]);

    const row = state.tableRows[1];

    expect(row.months).toHaveLength(12);
    expect(row.months[0]?.absolute).toBe(10);
    expect(row.months[0]?.percentage).toBeCloseTo(10);
    expect(row.months[1]?.absolute).toBe(11);
    expect(row.months[1]?.percentage).toBeCloseTo(10);
    expect(row.total?.absolute).toBe(20);
    expect(row.total?.percentage).toBeCloseTo(20);

    const count = getData.mock.calls.length;

    manager.setDisplayMode(SeasonalityViewType.Table);
    manager.setRange({
      fromYear: 2025,
      toYear: 2025,
    });

    flushAnimationFrames();

    expect(state.tableRows).toHaveLength(1);
    expect(state.tableRows[0].year).toBe(2025);
    expect(state.tableRows[0].months[0]?.absolute).toBe(12);
    expect(state.tableRows[0].months[0]?.percentage).toBeCloseTo(10);
    expect(state.tableRows[0].total?.absolute).toBe(12);
    expect(state.tableRows[0].total?.percentage).toBeCloseTo(10);
    expect(getData).toHaveBeenCalledTimes(count);
  });

  it('должен отличать отсутствующую базу, пропущенный месяц и нулевое изменение', async () => {
    getData
      .mockResolvedValueOnce([
        createCandle('2024-01-31', 0),
        createCandle('2024-02-29', 10),
        createCandle('2024-04-30', 15),
        createCandle('2024-05-31', 15),
      ])
      .mockResolvedValueOnce(null);

    await manager.show('AAA');

    const row = state.tableRows[0];

    expect(row.months[0]).toEqual({
      absolute: 0,
      percentage: null,
    });
    expect(row.months[1]).toEqual({
      absolute: 10,
      percentage: null,
    });
    expect(row.months[2]).toBeNull();
    expect(row.months[3]).toBeNull();
    expect(row.months[4]).toEqual({
      absolute: 0,
      percentage: 0,
    });
    expect(row.months.slice(5)).toEqual(Array(7).fill(null));
    expect(row.total).toEqual({
      absolute: 15,
      percentage: null,
    });
  });

  it('должен переключать вид без повторной загрузки и пересоздания графика', async () => {
    await loadSampleHistory();

    const count = getData.mock.calls.length;
    const chart = mocks.charts[0];
    const rows = state.tableRows;

    manager.setDisplayMode(SeasonalityViewType.Table);

    expect(state.displayMode).toBe(SeasonalityViewType.Table);
    expect(state.status).toBe('ready');
    expect(state.tableRows).toBe(rows);

    manager.setScale(PriceScaleMode.Percentage);
    manager.setDisplayMode(SeasonalityViewType.Chart);

    expect(state.displayMode).toBe(SeasonalityViewType.Chart);
    expect(state.scale).toBe(PriceScaleMode.Percentage);
    expect(state.fromYear).toBe(2020);
    expect(state.toYear).toBe(2025);
    expect(state.tableRows).toBe(rows);
    expect(getData).toHaveBeenCalledTimes(count);
    expect(mocks.charts).toHaveLength(1);
    expect(chart.remove).not.toHaveBeenCalled();
  });

  it('должен сохранять вид и шкалу, выбранные во время загрузки', async () => {
    const request = createDeferred<Candle[]>();

    getData.mockReturnValueOnce(request.promise).mockResolvedValueOnce(null);

    const loading = manager.show('AAA');

    manager.setDisplayMode(SeasonalityViewType.Table);
    manager.setScale(PriceScaleMode.Percentage);

    expect(state.status).toBe('loading');
    expect(state.tableRows).toEqual([]);

    request.resolve([createCandle('2024-12-31', 100), createCandle('2025-01-31', 125)]);

    await loading;

    expect(state.status).toBe('ready');
    expect(state.displayMode).toBe(SeasonalityViewType.Table);
    expect(state.scale).toBe(PriceScaleMode.Percentage);
    expect(state.tableRows[0].months[0]).toEqual({
      absolute: 25,
      percentage: 25,
    });
    expect(state.tableRows[0].total).toEqual({
      absolute: 25,
      percentage: 25,
    });
  });

  it('не должен копировать снимок графика в табличном режиме', async () => {
    await loadSampleHistory();

    manager.setDisplayMode(SeasonalityViewType.Table);

    await manager.copyImage();

    expect(mocks.charts[0].takeScreenshot).not.toHaveBeenCalled();
    expect(drawTextLayer).not.toHaveBeenCalled();
    expect(canvasToBlob).not.toHaveBeenCalled();
  });

  it('должен очищать строки при загрузке нового инструмента и ошибке запроса', async () => {
    await loadSampleHistory();

    manager.setDisplayMode(SeasonalityViewType.Table);

    const request = createDeferred<Candle[]>();

    getData.mockReturnValueOnce(request.promise);

    const loading = manager.show('NEW');

    expect(state.symbolId).toBe('NEW');
    expect(state.status).toBe('loading');
    expect(state.tableRows).toEqual([]);

    request.reject(new Error('network'));

    await loading;

    expect(state.status).toBe('error');
    expect(state.displayMode).toBe(SeasonalityViewType.Table);
    expect(state.tableRows).toEqual([]);
  });

  it('должен восстанавливать строки после выбора пустого диапазона', async () => {
    await loadSampleHistory();

    const count = getData.mock.calls.length;

    manager.setDisplayMode(SeasonalityViewType.Table);
    manager.setRange({
      fromYear: 2021,
      toYear: 2022,
    });

    flushAnimationFrames();

    expect(state.status).toBe('empty');
    expect(state.tableRows).toEqual([]);

    manager.setRange({
      fromYear: 2023,
      toYear: 2025,
    });

    flushAnimationFrames();

    expect(state.status).toBe('ready');
    expect(state.displayMode).toBe(SeasonalityViewType.Table);
    expect(state.tableRows.map((row) => row.year)).toEqual([2025, 2023]);
    expect(getData).toHaveBeenCalledTimes(count);
  });
});

describe('SeasonalityManager: среднее', () => {
  it('должен добавлять среднюю серию по запросу и удалять её без загрузки истории', async () => {
    await loadSampleHistory();

    const chart = mocks.charts[0];

    expect(chart.series).toHaveLength(3);
    expect(state.showAverage).toBe(false);

    manager.setAverageVisible(true);

    const average = chart.series[3];

    expect(state.showAverage).toBe(true);
    expect(average.options).toEqual(expect.objectContaining({
      title: 'Avg',
      color: colors.chartTextPrimary,
      lineStyle: LineStyle.Dashed,
      lineWidth: 2,
      priceLineVisible: false,
    }));
    expect(getLastCall(average.setData)[0][0]).toEqual({ time: '2000-01-01', value: 100 });
    expect(getLastCall(average.setData)[0][1]).toEqual({ time: '2000-01-02', value: 125 });
    expect(container.textContent).toContain('Avg');

    manager.setAverageVisible(true);

    expect(chart.series).toHaveLength(4);
    expect(average.setData).toHaveBeenCalledTimes(1);

    manager.setAverageVisible(false);

    expect(state.showAverage).toBe(false);
    expect(chart.removeSeries).toHaveBeenCalledWith(average);
    expect(container.textContent).not.toContain('Avg');
    expect(getData).toHaveBeenCalledTimes(2);
    expect(createChart).toHaveBeenCalledTimes(1);
  });

  it('должен пересчитывать среднее при изменении шкалы и диапазона', async () => {
    await loadSampleHistory();
    manager.setAverageVisible(true);

    const chart = mocks.charts[0];
    const average = chart.series[3];

    manager.setScale(PriceScaleMode.Percentage);

    expect(getLastCall(average.setData)[0][0]).toEqual({ time: '2000-01-01', value: 0 });
    expect(getLastCall(average.setData)[0][1]).toEqual({ time: '2000-01-02', value: 25 });
    expect(getLastCall(average.applyOptions)[0].priceFormat.minMove).toBe(0.01);
    expect(getLastCall(average.applyOptions)[0].priceFormat.formatter(25)).toBe('25.00%');

    manager.setRange({ fromYear: 2020, toYear: 2023 });
    flushAnimationFrames();

    expect(getLastCall(average.setData)[0][1]).toEqual({ time: '2000-01-02' });

    manager.setScale(PriceScaleMode.Normal);

    expect(getLastCall(average.setData)[0][0]).toEqual({ time: '2000-01-01', value: 100 });
    expect(getLastCall(average.applyOptions)[0].priceFormat.minMove).toBe(0.001);
    expect(chart.series.filter((series) => series.options.title === 'Avg')).toHaveLength(1);
    expect(getData).toHaveBeenCalledTimes(2);
  });

  it('должен обновлять среднее в легенде по курсору и показывать пропуски', async () => {
    await loadSampleHistory();
    manager.setAverageVisible(true);

    const chart = mocks.charts[0];
    const average = chart.series[3];
    const onCrosshairMove = getLastCall(chart.subscribeCrosshairMove)[0];
    const label = [...container.querySelectorAll('span')].find((element) => element.textContent === 'Avg')!;
    const value = label.nextElementSibling!;

    expect(value.textContent).toBe('125.00');

    onCrosshairMove({
      time: '2000-01-01',
      seriesData: new Map([[average, { value: 0 }]]),
    });

    expect(value.textContent).toBe('0.00');

    onCrosshairMove({ time: '2000-01-02', seriesData: new Map() });

    expect(value.textContent).toBe('—');

    onCrosshairMove({});

    expect(value.textContent).toBe('125.00');
  });

  it('должен сохранять среднее между видами и при повторной загрузке после очистки', async () => {
    await loadSampleHistory();
    manager.setAverageVisible(true);

    const chart = mocks.charts[0];

    manager.setDisplayMode(SeasonalityViewType.Table);
    manager.setDisplayMode(SeasonalityViewType.Chart);

    expect(state.showAverage).toBe(true);
    expect(chart.series).toHaveLength(4);
    expect(getData).toHaveBeenCalledTimes(2);

    manager.clear();

    expect(state.showAverage).toBe(true);
    expect(chart.remove).toHaveBeenCalledTimes(1);
    expect(container.textContent).not.toContain('Avg');

    await loadSampleHistory();

    expect(mocks.charts[1].series.some((series) => series.options.title === 'Avg')).toBe(true);
    expect(container.textContent).toContain('Avg');
  });

  it('должен удалять среднее для пустого диапазона и восстанавливать при выборе данных', async () => {
    await loadSampleHistory();
    manager.setAverageVisible(true);

    const chart = mocks.charts[0];
    const average = chart.series[3];

    manager.setRange({ fromYear: 2021, toYear: 2022 });
    flushAnimationFrames();

    expect(state.status).toBe('empty');
    expect(state.showAverage).toBe(true);
    expect(chart.removeSeries).toHaveBeenCalledWith(average);
    expect(container.textContent).not.toContain('Avg');

    manager.setRange({ fromYear: 2025, toYear: 2025 });
    flushAnimationFrames();

    expect(state.status).toBe('ready');
    expect(chart.series[chart.series.length - 1].options.title).toBe('Avg');
    expect(container.textContent).toContain('Avg');
    expect(getData).toHaveBeenCalledTimes(2);
  });

  it('должен применять выбранное среднее после загрузки истории', async () => {
    manager.setAverageVisible(true);

    expect(createChart).not.toHaveBeenCalled();

    await loadSampleHistory();

    expect(state.showAverage).toBe(true);
    expect(mocks.charts[0].series[3].options.title).toBe('Avg');
  });

  it('должен обновлять цвет средней линии и её значения из темы', async () => {
    await loadSampleHistory();
    manager.setAverageVisible(true);

    const average = mocks.charts[0].series[3];

    jest.mocked(getThemeStore).mockReturnValue({
      colors: { ...colors, chartTextPrimary: '#abcdef' },
    } as ReturnType<typeof getThemeStore>);

    manager.updateTheme();

    expect(average.applyOptions).toHaveBeenLastCalledWith({ color: '#abcdef' });

    const label = [...container.querySelectorAll('span')].find((element) => element.textContent === 'Avg')!;
    expect((label.nextElementSibling as HTMLElement).style.color).toBe('rgb(171, 205, 239)');
  });

  it('не должен создавать среднюю серию после уничтожения менеджера', async () => {
    await loadSampleHistory();

    const chart = mocks.charts[0];

    manager.destroy();
    manager.setAverageVisible(true);

    expect(chart.series).toHaveLength(3);
    expect(chart.remove).toHaveBeenCalledTimes(1);
  });
});

describe('SeasonalityManager: значения легенды', () => {
  it.each([
    { point: { time: '2000-01-01' } },
    { point: { value: '42' } },
    { point: { value: null } },
    { point: { open: 10, high: 20, low: 5, close: 15 } },
  ])('должен показывать пропуск для неподходящей точки %j', async ({ point }) => {
    await loadSampleHistory();
    manager.setAverageVisible(true);

    const chart = mocks.charts[0];
    const onCrosshairMove = getLastCall(chart.subscribeCrosshairMove)[0];

    onCrosshairMove({
      time: '2000-01-01',
      seriesData: new Map<SeriesTestContext, unknown>([
        [chart.series[0], point],
        [chart.series[3], point],
      ]),
    });

    expect(getLegendValue('2020')).toBe('—');
    expect(getLegendValue('Avg')).toBe('—');
  });

  it('должен форматировать нулевое и отрицательное значения форматтером соответствующей серии', async () => {
    await loadSampleHistory();
    manager.setAverageVisible(true);

    const chart = mocks.charts[0];
    const year = chart.series[0];
    const average = chart.series[3];
    const onCrosshairMove = getLastCall(chart.subscribeCrosshairMove)[0];

    jest.spyOn(year, 'priceFormatter').mockReturnValue({
      format: (value: number) => `year:${value}`,
    });
    jest.spyOn(average, 'priceFormatter').mockReturnValue({
      format: (value: number) => `average:${value}`,
    });

    onCrosshairMove({
      time: '2000-01-01',
      seriesData: new Map([
        [year, { value: 0 }],
        [average, { value: -12.5 }],
      ]),
    });

    expect(getLegendValue('2020')).toBe('year:0');
    expect(getLegendValue('Avg')).toBe('average:-12.5');
  });

  it.each([
    [PriceScaleMode.Normal, '100.00', '125.00'],
    [PriceScaleMode.Percentage, '0.00', '25.00'],
  ] as const)(
    'должен восстанавливать последние значения без времени курсора для шкалы %s',
    async (scale, yearValue, averageValue) => {
      await loadSampleHistory();
      manager.setScale(scale);
      manager.setAverageVisible(true);

      const chart = mocks.charts[0];
      const onCrosshairMove = getLastCall(chart.subscribeCrosshairMove)[0];
      const seriesData = new Map([
        [chart.series[0], { value: 999 }],
        [chart.series[3], { value: 999 }],
      ]);

      onCrosshairMove({ time: '2000-01-01', seriesData });

      expect(getLegendValue('2020')).toBe('999.00');
      expect(getLegendValue('Avg')).toBe('999.00');

      onCrosshairMove({ time: undefined, seriesData });

      expect(getLegendValue('2020')).toBe(yearValue);
      expect(getLegendValue('Avg')).toBe(averageValue);
    },
  );

  it('должен показывать пропуск для среднего без доступных процентных значений', async () => {
    getData
      .mockResolvedValueOnce([createCandle('2025-01-01', 0), createCandle('2025-01-02', 10)])
      .mockResolvedValueOnce(null);

    await manager.show('AAA');

    manager.setScale(PriceScaleMode.Percentage);
    manager.setAverageVisible(true);

    const chart = mocks.charts[0];
    const onCrosshairMove = getLastCall(chart.subscribeCrosshairMove)[0];

    expect(getLegendValue('2025')).toBe('—');
    expect(getLegendValue('Avg')).toBe('—');

    onCrosshairMove({ time: '2000-01-02', seriesData: new Map() });
    onCrosshairMove({});

    expect(getLegendValue('Avg')).toBe('—');
  });

  it('должен обновлять годовую легенду после отключения среднего', async () => {
    await loadSampleHistory();
    manager.setAverageVisible(true);

    const chart = mocks.charts[0];
    const onCrosshairMove = getLastCall(chart.subscribeCrosshairMove)[0];

    manager.setAverageVisible(false);

    onCrosshairMove({
      time: '2000-01-01',
      seriesData: new Map([[chart.series[0], { value: 0 }]]),
    });

    expect(getLegendValue('2020')).toBe('0.00');
    expect(getLegendValue('Avg')).toBeNull();
  });
});